Roles of Ca<sup>2+</sup> and the Ca<sup>2+</sup>‐sensing receptor (CASR) in the expression of inducible NOS (nitric oxide synthase)‐2 and its BH<sub>4</sub> (tetrahydrobiopterin)‐dependent activation in cytokine‐stimulated adult human astrocytes
Why this work is in the frame
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Bibliographic record
Abstract
Since NO production by NOS-2 made by astrocytes activated by proinflammatory cytokines contributes to the killing of neurons in variously damaged human brains, knowing the mechanisms responsible for NOS-2 expression should contribute to developing effective therapeutics. The expression and activation of NOS-2 in normal adult human cerebral cortical astrocytes treated with three proinflammatory cytokines, IL-1beta, TNF-alpha, and IFN-gamma, are driven by two separable mechanisms. NOS-2 expression requires a burst of p38 MAPK activity, while the activation of the resulting enzyme protein requires MEK/ERK-dependent BH4 (tetrahydrobiopterin) synthesis between 24 and 24.5 h after adding the cytokines to the culture medium. Here we show that NOS-2 expression in the activated astrocytes requires that the culture medium contain 1.8 mM Ca2+, but it is unaffected by inhibiting calcium-sensing receptors (CASRs) with NPS 89636. However, NOS-2 activation is inhibited by NPS 89626 during the MEK/ERK-dependent stage between 24 and 24.5 h after adding the cytokines, and this inhibition can be overridden by exogenous BH4. Therefore, NOS-2 expression and the subsequent BH4-dependent NOS-2-activation in human astrocytes need 1.8 mM Ca2+ to be in the culture medium, while NOS-2 activation also needs functional CASRs between 24 and 24.5 h after cytokine addition. These findings raise the possibility that calcilytic drugs prevent NO-induced damage and death of human neurons.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it